Dismantling Purity: Toward a Feminist Curdling of Hawaiian Identity
Bibliographic record
Abstract
This paper explores Hawaiian racial identity formation using María Lugones’s metaphor of curdling as a guiding theme. I aim to show that the accepted definition of “native Hawaiian” is based on a purity model of race that serves to undermine the unity of the Hawaiian Nation. I begin by outlining the pre-contact understanding of Hawaiian identity. This conception of identity was subsequently altered through various political agendas to fit within a Western/European notion of “pure” racial identity. I argue that continuing to use the imposed definition of “native Hawaiian” makes the fragmentation of Hawaiian identity and society difficult to overcome. Additionally, I offer a discussion of the gendered rhetoric of some Hawaiian activists that complicates the effort to regain a precolonial cultural identity that was largely egalitarian. Finally, I suggest that a rejection of racial purity and a rearticulation of Hawaiian identity that recaptures pre-contact, strategic notions of belonging by way of Lugones’s “impure resistance” can set the stage for a more inclusive Hawaiian Nation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".